{"id":1135643,"date":"2025-01-08T21:27:29","date_gmt":"2025-01-08T13:27:29","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1135643.html"},"modified":"2025-01-08T21:27:32","modified_gmt":"2025-01-08T13:27:32","slug":"python%e4%b8%80%e5%bc%a0%e5%9b%be%e5%a6%82%e4%bd%95%e7%94%bb%e4%b8%89%e6%9d%a1%e6%9b%b2%e7%ba%bf","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1135643.html","title":{"rendered":"python\u4e00\u5f20\u56fe\u5982\u4f55\u753b\u4e09\u6761\u66f2\u7ebf"},"content":{"rendered":"

\"python\u4e00\u5f20\u56fe\u5982\u4f55\u753b\u4e09\u6761\u66f2\u7ebf\"<\/p>\n

\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u5728\u4e00\u5f20\u56fe\u4e2d\u7ed8\u5236\u4e09\u6761\u66f2\u7ebf\u3002<\/strong> \u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u5e93\u3002\u7136\u540e\uff0c\u901a\u8fc7\u5bfc\u5165\u5e93\u5e76\u521b\u5efa\u4e00\u4e2a\u56fe\u5f62\u5bf9\u8c61\uff0c\u53ef\u4ee5\u5728\u540c\u4e00\u56fe\u5f62\u4e0a\u7ed8\u5236\u591a\u6761\u66f2\u7ebf\u3002\u4f7f\u7528\u4e0d\u540c\u7684\u989c\u8272\u3001\u7ebf\u578b\u548c\u6807\u7b7e<\/strong>\uff0c\u53ef\u4ee5\u533a\u5206\u8fd9\u4e9b\u66f2\u7ebf\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\u548c\u793a\u4f8b\u4ee3\u7801\u3002<\/p>\n<\/p>\n

\u5b89\u88c5Matplotlib\u5e93<\/h3>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u5e93\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5\u5b83\uff1a<\/p>\n<\/p>\n

pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n
\u5728\u4ee3\u7801\u4e2d\uff0c\u9996\u5148\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u521b\u5efa\u6570\u636e<\/h3>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u521b\u5efa\u7528\u4e8e\u7ed8\u5236\u66f2\u7ebf\u7684\u6570\u636e\u3002\u8fd9\u91cc\uff0c\u6211\u4eec\u4f7f\u7528NumPy\u5e93\u751f\u6210\u4e00\u4e9b\u793a\u4f8b\u6570\u636e\uff1a<\/p>\n<\/p>\n
x = np.linspace(0, 10, 100)<\/p>\n
y1 = np.sin(x)<\/p>\n
y2 = np.cos(x)<\/p>\n
y3 = np.tan(x)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7ed8\u5236\u66f2\u7ebf<\/h3>\n<\/p>\n
\u4f7f\u7528plt.plot()<\/code>\u51fd\u6570\u6765\u7ed8\u5236\u4e09\u6761\u66f2\u7ebf\uff0c\u5e76\u4e3a\u6bcf\u6761\u66f2\u7ebf\u6307\u5b9a\u4e0d\u540c\u7684\u989c\u8272\u548c\u6807\u7b7e\uff1a<\/p>\n<\/p>\n
plt.plot(x, y1, label='sin(x)', color='r')<\/p>\n
plt.plot(x, y2, label='cos(x)', color='g')<\/p>\n
plt.plot(x, y3, label='tan(x)', color='b')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6dfb\u52a0\u56fe\u4f8b\u3001\u6807\u9898\u548c\u6807\u7b7e<\/h3>\n<\/p>\n
\u4e3a\u4e86\u4f7f\u56fe\u5f62\u66f4\u52a0\u76f4\u89c2\u548c\u6613\u4e8e\u7406\u89e3\uff0c\u6dfb\u52a0\u56fe\u4f8b\u3001\u6807\u9898\u548c\u8f74\u6807\u7b7e\uff1a<\/p>\n<\/p>\n
plt.legend()<\/p>\n
plt.title('Plot of sin(x), cos(x), and tan(x)')<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('y')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u663e\u793a\u56fe\u5f62<\/h3>\n<\/p>\n
\u6700\u540e\uff0c\u4f7f\u7528plt.show()<\/code>\u51fd\u6570\u6765\u663e\u793a\u56fe\u5f62\uff1a<\/p>\n<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u5728\u4e00\u5f20\u56fe\u4e2d\u7ed8\u5236\u4e09\u6761\u66f2\u7ebf\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 10, 100)<\/p>\n
y1 = np.sin(x)<\/p>\n
y2 = np.cos(x)<\/p>\n
y3 = np.tan(x)<\/p>\n
\u7ed8\u5236\u66f2\u7ebf<\/strong><\/h2>\n
plt.plot(x, y1, label='sin(x)', color='r')<\/p>\n
plt.plot(x, y2, label='cos(x)', color='g')<\/p>\n
plt.plot(x, y3, label='tan(x)', color='b')<\/p>\n
\u6dfb\u52a0\u56fe\u4f8b\u3001\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.legend()<\/p>\n
plt.title('Plot of sin(x), cos(x), and tan(x)')<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('y')<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5e93<\/h3>\n<\/p>\n
\u5728\u7ed8\u5236\u56fe\u5f62\u4e4b\u524d\uff0c\u5fc5\u987b\u786e\u4fdd\u5b89\u88c5\u5e76\u5bfc\u5165\u6b63\u786e\u7684\u5e93\u3002Matplotlib\u548cNumPy\u662f\u7ed8\u5236\u548c\u5904\u7406\u6570\u636e\u7684\u5173\u952e\u5e93\u3002\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Matplotlib\uff1a<\/p>\n<\/p>\n
pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5bfc\u5165Matplotlib\u548cNumPy\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u521b\u5efa\u6570\u636e<\/h3>\n<\/p>\n
\u6570\u636e\u662f\u7ed8\u56fe\u7684\u57fa\u7840\u3002\u5728\u672c\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528NumPy\u521b\u5efa\u6570\u636e\u3002NumPy\u7684linspace<\/code>\u51fd\u6570\u751f\u6210\u4ece0\u523010\u7684100\u4e2a\u5747\u5300\u95f4\u9694\u7684\u70b9\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528\u8fd9\u4e9b\u70b9\u8ba1\u7b97sin(x)<\/code>\u3001cos(x)<\/code>\u548ctan(x)<\/code>\u7684\u503c\uff1a<\/p>\n<\/p>\n
x = np.linspace(0, 10, 100)<\/p>\n
y1 = np.sin(x)<\/p>\n
y2 = np.cos(x)<\/p>\n
y3 = np.tan(x)<\/p>\n
<\/code><\/pre>\n<\/p>\n
NumPy\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u9ad8\u6548\u7684\u6570\u636e\u5904\u7406\u80fd\u529b<\/strong>\uff0c\u4f7f\u5f97\u751f\u6210\u5927\u91cf\u6570\u636e\u70b9\u53d8\u5f97\u975e\u5e38\u5bb9\u6613\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u7ed8\u5236\u66f2\u7ebf<\/h3>\n<\/p>\n
Matplotlib\u7684plt.plot()<\/code>\u51fd\u6570\u7528\u4e8e\u7ed8\u5236\u66f2\u7ebf\u3002\u6bcf\u6b21\u8c03\u7528plt.plot()<\/code>\u65f6\uff0c\u90fd\u4f1a\u5411\u5f53\u524d\u56fe\u5f62\u6dfb\u52a0\u4e00\u6761\u65b0\u7684\u66f2\u7ebf\u3002\u5728\u672c\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5206\u522b\u7ed8\u5236\u4e09\u6761\u66f2\u7ebf\uff0c\u5e76\u4e3a\u6bcf\u6761\u66f2\u7ebf\u6307\u5b9a\u4e0d\u540c\u7684\u989c\u8272\u548c\u6807\u7b7e\uff1a<\/p>\n<\/p>\n
plt.plot(x, y1, label='sin(x)', color='r')<\/p>\n
plt.plot(x, y2, label='cos(x)', color='g')<\/p>\n
plt.plot(x, y3, label='tan(x)', color='b')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u6307\u5b9a\u4e0d\u540c\u7684\u989c\u8272\u548c\u6807\u7b7e\uff0c\u53ef\u4ee5\u8f7b\u677e\u533a\u5206\u4e0d\u540c\u7684\u66f2\u7ebf<\/strong>\u3002<\/p>\n<\/p>\n
\u56db\u3001\u6dfb\u52a0\u56fe\u4f8b\u3001\u6807\u9898\u548c\u6807\u7b7e<\/h3>\n<\/p>\n
\u4e3a\u4e86\u4f7f\u56fe\u5f62\u66f4\u52a0\u76f4\u89c2\u548c\u6613\u4e8e\u7406\u89e3\uff0c\u6211\u4eec\u53ef\u4ee5\u6dfb\u52a0\u56fe\u4f8b\u3001\u6807\u9898\u548c\u8f74\u6807\u7b7e\u3002plt.legend()<\/code>\u51fd\u6570\u7528\u4e8e\u663e\u793a\u56fe\u4f8b\uff0cplt.title()<\/code>\u51fd\u6570\u7528\u4e8e\u8bbe\u7f6e\u56fe\u5f62\u6807\u9898\uff0cplt.xlabel()<\/code>\u548cplt.ylabel()<\/code>\u51fd\u6570\u7528\u4e8e\u8bbe\u7f6e\u8f74\u6807\u7b7e\uff1a<\/p>\n<\/p>\n
plt.legend()<\/p>\n
plt.title('Plot of sin(x), cos(x), and tan(x)')<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('y')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56fe\u4f8b\u548c\u6807\u7b7e\u4f7f\u5f97\u56fe\u5f62\u66f4\u5177\u53ef\u8bfb\u6027<\/strong>\uff0c\u6709\u52a9\u4e8e\u7406\u89e3\u4e0d\u540c\u66f2\u7ebf\u4ee3\u8868\u7684\u542b\u4e49\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u663e\u793a\u56fe\u5f62<\/h3>\n<\/p>\n
\u6700\u540e\uff0c\u4f7f\u7528plt.show()<\/code>\u51fd\u6570\u663e\u793a\u56fe\u5f62\uff1a<\/p>\n<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
plt.show()<\/code>\u662fMatplotlib\u4e2d\u7528\u4e8e\u663e\u793a\u56fe\u5f62\u7684\u5173\u952e\u51fd\u6570<\/strong>\uff0c\u5b83\u5c06\u6240\u6709\u7ed8\u56fe\u547d\u4ee4\u7684\u7ed3\u679c\u663e\u793a\u5728\u4e00\u4e2a\u7a97\u53e3\u4e2d\u3002<\/p>\n<\/p>\n
\u6df1\u5165\u7406\u89e3\u548c\u6269\u5c55<\/h3>\n<\/p>\n
\u4f7f\u7528\u4e0d\u540c\u7684\u7ebf\u578b\u548c\u6807\u8bb0<\/h4>\n<\/p>\n
\u9664\u4e86\u989c\u8272\u548c\u6807\u7b7e\u4e4b\u5916\uff0cMatplotlib\u8fd8\u5141\u8bb8\u6211\u4eec\u4f7f\u7528\u4e0d\u540c\u7684\u7ebf\u578b\u548c\u6807\u8bb0\u6765\u533a\u5206\u66f2\u7ebf\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u865a\u7ebf\u3001\u70b9\u7ebf\u6216\u5e26\u6709\u6807\u8bb0\u7684\u7ebf\uff1a<\/p>\n<\/p>\n
plt.plot(x, y1, label='sin(x)', color='r', linestyle='--')<\/p>\n
plt.plot(x, y2, label='cos(x)', color='g', linestyle='-.')<\/p>\n
plt.plot(x, y3, label='tan(x)', color='b', linestyle=':', marker='o')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4f7f\u7528\u4e0d\u540c\u7684\u7ebf\u578b\u548c\u6807\u8bb0\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u589e\u5f3a\u56fe\u5f62\u7684\u53ef\u8bfb\u6027<\/strong>\u3002<\/p>\n<\/p>\n
\u8bbe\u7f6e\u8f74\u7684\u8303\u56f4<\/h4>\n<\/p>\n
\u6709\u65f6\uff0c\u6211\u4eec\u5e0c\u671b\u8bbe\u7f6e\u8f74\u7684\u8303\u56f4\u4ee5\u66f4\u597d\u5730\u663e\u793a\u6570\u636e\u3002\u53ef\u4ee5\u4f7f\u7528plt.xlim()<\/code>\u548cplt.ylim()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u8303\u56f4\uff1a<\/p>\n<\/p>\n
plt.xlim(0, 10)<\/p>\n
plt.ylim(-1, 1)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8bbe\u7f6e\u8f74\u7684\u8303\u56f4\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u63a7\u5236\u56fe\u5f62\u7684\u663e\u793a\u6548\u679c<\/strong>\u3002<\/p>\n<\/p>\n
\u4f7f\u7528\u5b50\u56fe<\/h4>\n<\/p>\n
\u5728\u4e00\u4e2a\u56fe\u5f62\u4e2d\u7ed8\u5236\u591a\u4e2a\u5b50\u56fe\u4e5f\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u9700\u6c42\u3002Matplotlib\u7684plt.subplot()<\/code>\u51fd\u6570\u5141\u8bb8\u6211\u4eec\u5728\u4e00\u4e2a\u56fe\u5f62\u4e2d\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\uff1a<\/p>\n<\/p>\n
plt.subplot(3, 1, 1)<\/p>\n
plt.plot(x, y1, label='sin(x)', color='r')<\/p>\n
plt.legend()<\/p>\n
plt.subplot(3, 1, 2)<\/p>\n
plt.plot(x, y2, label='cos(x)', color='g')<\/p>\n
plt.legend()<\/p>\n
plt.subplot(3, 1, 3)<\/p>\n
plt.plot(x, y3, label='tan(x)', color='b')<\/p>\n
plt.legend()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4f7f\u7528\u5b50\u56fe\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u4e00\u4e2a\u56fe\u5f62\u4e2d\u5c55\u793a\u66f4\u591a\u7684\u4fe1\u606f<\/strong>\u3002<\/p>\n<\/p>\n
\u7ed3\u8bba<\/h3>\n<\/p>\n
\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u5e93\u7ed8\u5236\u591a\u6761\u66f2\u7ebf\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u4e14\u7075\u6d3b\u7684\u529f\u80fd\u3002\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u5982\u4f55\u5728\u4e00\u5f20\u56fe\u4e2d\u7ed8\u5236\u4e09\u6761\u66f2\u7ebf\uff0c\u5e76\u6dfb\u52a0\u56fe\u4f8b\u3001\u6807\u9898\u548c\u6807\u7b7e\u3002\u540c\u65f6\uff0c\u6211\u4eec\u8fd8\u63a2\u8ba8\u4e86\u5982\u4f55\u4f7f\u7528\u4e0d\u540c\u7684\u7ebf\u578b\u548c\u6807\u8bb0\u3001\u8bbe\u7f6e\u8f74\u7684\u8303\u56f4\u4ee5\u53ca\u4f7f\u7528\u5b50\u56fe\u6765\u6269\u5c55\u6211\u4eec\u7684\u56fe\u5f62\u3002\u8fd9\u4e9b\u6280\u5de7\u548c\u65b9\u6cd5\u5c06\u5e2e\u52a9\u6211\u4eec\u521b\u5efa\u66f4\u52a0\u4e13\u4e1a\u548c\u76f4\u89c2\u7684\u6570\u636e\u53ef\u89c6\u5316\u56fe\u5f62<\/strong>\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u7ed8\u5236\u591a\u6761\u66f2\u7ebf\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u5728\u4e00\u5f20\u56fe\u4e2d\u7ed8\u5236\u591a\u6761\u66f2\u7ebf\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86Matplotlib\u5e93\u3002\u7136\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528plot()<\/code>\u51fd\u6570\u4e3a\u6bcf\u6761\u66f2\u7ebf\u63d0\u4f9b\u4e0d\u540c\u7684\u6570\u636e\u96c6\uff0c\u5e76\u5728\u540c\u4e00\u56fe\u8868\u4e2d\u8c03\u7528\u5b83\u4eec\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4e3a\u4e09\u6761\u66f2\u7ebf\u521b\u5efa\u4e09\u7ec4x\u548cy\u503c\uff0c\u5e76\u5206\u522b\u7ed8\u5236\u5b83\u4eec\u3002\u6700\u540e\uff0c\u4f7f\u7528show()<\/code>\u51fd\u6570\u6765\u5c55\u793a\u56fe\u5f62\u3002<\/p>\n
\u5982\u4f55\u81ea\u5b9a\u4e49\u66f2\u7ebf\u7684\u6837\u5f0f\u548c\u989c\u8272\uff1f<\/strong>
\u5728\u4f7f\u7528Matplotlib\u7ed8\u5236\u66f2\u7ebf\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f20\u9012\u53c2\u6570\u81ea\u5b9a\u4e49\u6bcf\u6761\u66f2\u7ebf\u7684\u6837\u5f0f\u548c\u989c\u8272\u3002\u5728plot()<\/code>\u51fd\u6570\u4e2d\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u7ebf\u578b\uff08\u5982\u5b9e\u7ebf\u3001\u865a\u7ebf\uff09\u3001\u989c\u8272\uff08\u5982\u7ea2\u8272\u3001\u84dd\u8272\uff09\u548c\u6807\u8bb0\uff08\u5982\u5706\u5708\u3001\u65b9\u5757\uff09\u7b49\u5c5e\u6027\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1aplt.plot(x, y1, linestyle='-', color='r')<\/code>\uff0c\u8fd9\u5c06\u7ed8\u5236\u4e00\u6761\u7ea2\u8272\u5b9e\u7ebf\u3002<\/p>\n
\u5982\u4f55\u5728\u540c\u4e00\u56fe\u4e2d\u6dfb\u52a0\u56fe\u4f8b\u548c\u6807\u7b7e\uff1f<\/strong>
\u4e3a\u4e86\u63d0\u9ad8\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\uff0c\u5efa\u8bae\u5728\u7ed8\u5236\u591a\u6761\u66f2\u7ebf\u65f6\u6dfb\u52a0\u56fe\u4f8b\u548c\u6807\u7b7e\u3002\u5728Matplotlib\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528xlabel()<\/code>\u548cylabel()<\/code>\u51fd\u6570\u4e3ax\u8f74\u548cy\u8f74\u6dfb\u52a0\u6807\u7b7e\uff0c\u4f7f\u7528legend()<\/code>\u51fd\u6570\u4e3a\u6bcf\u6761\u66f2\u7ebf\u6dfb\u52a0\u56fe\u4f8b\u3002\u4f8b\u5982\uff0cplt.legend(['Curve 1', 'Curve 2', 'Curve 3'])<\/code>\u53ef\u4ee5\u4e3a\u4e09\u6761\u66f2\u7ebf\u6dfb\u52a0\u5bf9\u5e94\u7684\u6807\u7b7e\u3002\u8fd9\u6837\uff0c\u8bfb\u8005\u53ef\u4ee5\u66f4\u5bb9\u6613\u5730\u7406\u89e3\u6bcf\u6761\u66f2\u7ebf\u6240\u4ee3\u8868\u7684\u610f\u4e49\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u5728\u4e00\u5f20\u56fe\u4e2d\u7ed8\u5236\u4e09\u6761\u66f2\u7ebf\u3002 \u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Matplot […]","protected":false},"author":3,"featured_media":1135646,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1135643"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1135643"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1135643\/revisions"}],"predecessor-version":[{"id":1135647,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1135643\/revisions\/1135647"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1135646"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1135643"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1135643"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1135643"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}